{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import skimage.io as io\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.6/site-packages/ipykernel/__main__.py:11: DeprecationWarning: PyUnicode_AsEncodedObject() is deprecated; use PyUnicode_AsEncodedString() to encode from str to bytes or PyCodec_Encode() for generic encoding\n",
      "/usr/lib/python3.6/site-packages/ipykernel/__main__.py:12: DeprecationWarning: PyUnicode_AsEncodedObject() is deprecated; use PyUnicode_AsEncodedString() to encode from str to bytes or PyCodec_Encode() for generic encoding\n",
      "/usr/lib/python3.6/site-packages/ipykernel/__main__.py:13: DeprecationWarning: PyUnicode_AsEncodedObject() is deprecated; use PyUnicode_AsEncodedString() to encode from str to bytes or PyCodec_Encode() for generic encoding\n"
     ]
    }
   ],
   "source": [
    "tfrecords_filename = '../data/indian_celebrities_male.tfrecords'\n",
    "\n",
    "reconstructed_images = []\n",
    "\n",
    "record_iterator = tf.python_io.tf_record_iterator(path=tfrecords_filename)\n",
    "\n",
    "for string_record in record_iterator:\n",
    "    example = tf.train.Example()\n",
    "    example.ParseFromString(string_record)\n",
    "    \n",
    "    height = int(example.features.feature['height'].int64_list.value[0])\n",
    "    width = int(example.features.feature['width'].int64_list.value[0])\n",
    "    img_string = (example.features.feature['image_raw'].bytes_list.value[0])\n",
    "    \n",
    "    img_1d = np.fromstring(img_string, dtype=np.uint8)\n",
    "    reconstructed_image = img_1d.reshape((height, width, -1))\n",
    "    \n",
    "    reconstructed_images.append(reconstructed_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fbfa3bd4f28>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hNWs91eO7tOuzkBZjZCSUI0eOU41zj4QUlp1pO27ALCTkZFHFWh21aBmz/9hwFJtq1TRP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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfa3c29470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "io.imshow(reconstructed_images[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
